Logistics with artificial intelligence
Decision support for workflow and productivity in container handling operations or buffer storeage

The intelligent SimCog forecast enables better use of avilable space, shorter transportation routes and faster provision of containers for further transport in a container terminal. An other application is the management of the buffer storage.

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LogisticsOur tool delivers Dwell time predictions and Transport type predictions 

Project strategy:

  1. Bringing together data from various sources: historical container attributes, goods data, storage data and other external data e.g. holidays
  2. Developmnet of predictive models usng various Machine Lerning algorithms. The models learn to recognize specific patterns in the data
  3. The predictive models are used for container dwell time and mode of transport predictions
  4. Developmnet of a high-speed tool to return these predictions at the time of container unloading


The algorithm from SimCog Technologies enables instantaneously when which container is picked up by which means of transport.

  • Optimize your container storage

    Containers can be parked at the best possible location for temporary storage.

  • Reduce loading times

    With intelligent stacking, the restacking for further transport can be reduced significantly

  • Expand your capacity

    More efficient container positioning means that more containers can be placed on top of each other.